Jason R. Gilder

438 citations
9 papers · 183 indexed · h-index 4
Topics
Forensic and Genetic Research (2 papers)Molecular Biology Techniques and Applications (2 papers)Gene expression and cancer classification (2 papers)
Partner nations
United StatesIndia

In The Last Decade

Jason R. Gilder

9 papers receiving 177 citations

Peers

Jason R. Gilder
Comparison fields: 5 of 85
  • Genetics 59
  • Molecular Biology 58
  • Epidemiology 33
  • Surgery 32
  • Oncology 17
Replace Hongyuan Wang with:
Hongyuan Wang China
Danielle Rasooly United States
Chiao‐Chin Lee Taiwan
Nephi Walton United States
Jasmine Gratton United Kingdom
Lauren M. Quinn United Kingdom
Víctor García United States
Enikő Sólyom Hungary
Deborah Conte Santos Brazil
Jesús Moreno-Fernández Spain
Jason R. Gilder relative to Hongyuan Wang China Hongyuan Wang's profile →
Citations per field
00.5×3.3×
Hongyuan Wang · 1×
Citations per year

Countries citing papers authored by Jason R. Gilder

Since Specialization
Citations

This map shows the geographic impact of Jason R. Gilder's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jason R. Gilder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason R. Gilder more than expected).

Fields of papers citing papers by Jason R. Gilder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason R. Gilder. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jason R. Gilder. The network helps show where Jason R. Gilder may publish in the future.

Co-authorship network of co-authors of Jason R. Gilder

This figure shows the co-authorship network connecting the top 25 collaborators of Jason R. Gilder. A scholar is included among the top collaborators of Jason R. Gilder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason R. Gilder. Jason R. Gilder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2
Comparison of Ontologies to Derive Pharmacologic Classes from Medications in Clinical Information Systems.
1
3 108
4 16
5 47
6 2
7 4
8
PocketMol: A Molecular Visualization Tool for the PocketPC (short paper).
1
9 3

About Jason R. Gilder

Jason R. Gilder is a scholar working on Computer Science Applications, Hardware and Architecture and Media Technology, having authored 9 papers that have together received 183 indexed citations. Recurring topics across this work include Forensic and Genetic Research (2 papers), Molecular Biology Techniques and Applications (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Genetics (59 citations), Gastroenterology (7 citations) and Toxicology (4 citations). Jason R. Gilder has collaborated with scholars based in United States and India. Frequent co-authors include David C. Kaelber, Anil Jain, Thomas E. Love, Dan E. Krane, Keith Inman, Travis E. Doom, William M. Shields, Michael L. Raymer, Jason T. Wright and Simon Ford. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Forensic Sciences and International Journal of Legal Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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